• DocumentCode
    141770
  • Title

    A Game Model for Predicting the Attack Path of APT

  • Author

    Xupeng Fang ; Lidong Zhai ; Zhaopeng Jia ; Wenyan Bai

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    491
  • Lastpage
    495
  • Abstract
    As a major threat today, how to defense against APT (advanced persistent attack) effectively becomes a major issue for network security. APT is a combination of past attacks, not a new one. It´s different from any one of previous attacks. Predicting the attack path of APT exactly would be a breakthrough for the future defense in Internet of things. Firstly, the paper proposes classifications of attack and defense for game model from the perspective of game theory. Then, we present the OAPG model, which uses attack path of APT as the attacker´s strategy. Finally, according to the Nash equilibrium, we compute the optimal attack path for the attacker and best-response strategies for the defender.
  • Keywords
    Internet of Things; computer network security; game theory; APT; Internet of Things; Nash equilibrium; OAPG model; advanced persistent attack; attack path prediction; game model; game theory; network security; optimal attack path; Buffer overflows; Computational modeling; Correlation; Games; Predictive models; Servers; Telecommunications; Internet of things; attack path; game model; strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4799-5078-2
  • Type

    conf

  • DOI
    10.1109/DASC.2014.94
  • Filename
    6945739